3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis
Anna Elisabeth Riha, Nikolas Siccha, Antti Oulasvirta +1
When building statistical models for Bayesian data analysis tasks, required and optional iterative adjustments and different modelling choices can give rise to numerous candidate m…
stat.CO2022★ 3 cited
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models
Juho Timonen, Nikolas Siccha, Ben Bales +2
Statistical models can involve implicitly defined quantities, such as solutions to nonlinear ordinary differential equations (ODEs), that unavoidably need to be numerically approxi…